Predicting aboveground forest biomass with topographic variables in human-impacted tropical dry forest landscapes

Salinas-Melgoza, MA, Skutsch, M and Lovett, JC orcid.org/0000-0002-5839-3770 (2018) Predicting aboveground forest biomass with topographic variables in human-impacted tropical dry forest landscapes. Ecosphere, 9 (1). e02063. ISSN 2150-8925

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: (c) 2018 Salinas-Melgoza et al. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. https://creativecommons.org/licenses/by/3.0/
Keywords: aboveground biomass; landscape approach; Reducing Emissions from Deforestation and Forest; aboveground biomass; landscape approach; Reducing Emissions from Deforestation and Forest Degradation (REDD+); rural communities; topographic variables
Dates:
  • Published: January 2018
  • Accepted: 13 November 2017
  • Published (online): 5 January 2018
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 16 Nov 2017 13:27
Last Modified: 14 Mar 2018 15:08
Status: Published
Publisher: Wiley-Blackwell
Identification Number: https://doi.org/10.1002/ecs2.2063

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